Skip to main content

pythondata-cpu-cv32e40s

Non-Python files needed for the cpu cv32e40s packaged into a Python module so they can be used with Python libraries and tools.

This is useful for usage with tools like LiteX.

The data files can be found under the Python module pythondata_cpu_cv32e40s. The pythondata_cpu_cv32e40s.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_cv32e40s

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_cv32e40s.data_location, my_data_file)) as f:
    print(f.read())

Example of getting the data file using litex.data.find API;

from pythondata_cpu_cv32e40s import data_file

my_data_file = "abc.txt"

with open(data_file(my_data_file)) as f:
    print(f.read())

The data files come from https://github.com/openhwgroup/cv32e40s and are imported using git subtrees to the directory pythondata_cpu_cv32e40s/system_verilog.

Installing

Directly from git repository

Manually

You can install the package manually, however this is not recommended.

git clone https://github.com/litex-hub/pythondata-cpu-cv32e40s.git
cd pythondata-cpu-cv32e40s
sudo python setup.py install

Using pip with git repository

You can use pip to install the data package directly from github using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git

If you want to install for the whole system rather than just the current user, you need to remove the --user argument and run as sudo like so;

sudo pip install git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git

To use a specific revision of the repository, use the following;

-e https://github.com/litex-hub/pythondata-cpu-cv32e40s.git@<hash>

Via PyPi

Using pip

pip install --user pythondata-cpu-cv32e40s

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-cv32e40s

Issues and Fixes

This package is autogenerated from the sources in https://github.com/openhwgroup/cv32e40s using the pythondata-auto toolset. Pull requests and issues on this pythondata repo may not be monitored.

Metadata

Release files for pythondata-cpu-cv32e40s 0.3.0.post372

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pythondata-cpu-cv32e40s 0.3.0.post372
File Size Uploaded
pythondata-cpu-cv32e40s-0.3.0.post372.tar.gz 841.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pythondata-cpu-cv32e40s 0.3.0.post372
File Interpreter ABI Platform
pythondata_cpu_cv32e40s-0.3.0.post372-py3-none-any.whl Python 3 none any Details

Total release size: 1.8 MB

Release files / pythondata-cpu-cv32e40s-0.3.0.post372.tar.gz

Download URL pythondata-cpu-cv32e40s-0.3.0.post372.tar.gz
Size 841.7 kB
Tags Source
SHA-256 checksum
How to use checksums
1911f5f6587b07c64049bce3478f2d2e9bf08637657b2ad7fc3f46583ef7461f
BLAKE2b-256 checksum
How to use checksums
b8bad98438861410b6f061b3506edbe94e3af0a0b9d299bdc3a55f3c00116c8b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.4

Release files / pythondata_cpu_cv32e40s-0.3.0.post372-py3-none-any.whl

Download URL pythondata_cpu_cv32e40s-0.3.0.post372-py3-none-any.whl
Size 939.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
778935be76072d98478d2c70168c1f7ad5eaade48b0f3a751d7564f9f4830088
BLAKE2b-256 checksum
How to use checksums
a399f11c58d9258f8bae050248a48009e98840e4dfbd4b2633f7ec2b59319b12
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.4

Release history Release notifications | RSS feed

This release

0.3.0.post372 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page